Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration

Abstract Background RNA 5-methyluridine (m5U) modifications play a crucial role in biological processes, making their accurate identification a key focus in computational biology. This paper introduces Deep-m5U, a robust predictor designed to enhance the prediction of m5U modifications. The proposed...

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Bibliografski detalji

Glavni autori:	Sumaiya Noor, Afshan Naseem, Hamid Hussain Awan, Wasiq Aslam, Salman Khan, Salman A. AlQahtani, Nijad Ahmad
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2024-11-01
Serija:	BMC Bioinformatics
Teme:	RNA 5-methyluridine PseKNC Deep learning Sequence-derived features SHAP
Online pristup:	https://doi.org/10.1186/s12859-024-05978-1
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